xCRM: Blockchain Interoperable Crime Report Management System By Utilizing Hyperledger Cacti & Private Data Collection (PDC)
Ruhul Amin, Rahat Ahmed Chowdhury, Shah MD Tanjim, Ashraful Islam, Mohammad Shamsul Islam · 2023
The process of bringing criminals to justice can be complicated when reporter information and sensitive data related to the case are revealed and may involve international law enforcement cooperation, especially when a criminal flees to another country. To tackle this issue, an interoperable crime management system is necessary. This study proposes a blockchain-based interoperable crime management system that provides secure and decentralized communication between different blockchain-based platforms, ensuring anonymity, transparency, and immutability. We present a methodology for crime reporting, evidence management, forensic testing, a collaboration between investigation agencies, and resource sharing where anyone can report in two modes: anonymous mode, which is only for passing any information to the police, or generate mode, which will create an FIR (First Information Report) and subsequent procedures. To ensure the security of our data, we have implemented Hyperledger Fabric Private Data Collection (PDC) for each report and investigation. The PDC will consist of the team leader, investigation officer, reporter, and any other relevant users as members. All interactions will occur within the specific channel created for each report, and files and additional information will be shared through the PDC. This system uses Hyperledger Cacti to implement interoperability and allows investigation and collaboration with others, like courts, forensics, and special investigation agencies, even with foreign systems. This proposed system is effective and efficient, enhancing the performance of blockchain networks.